Human Activity Recognition (HAR) is the problem of automatically identifying and classifying physical actions or behaviors performed by individuals — such as walking, sitting, falling, or gesturing — from sensor-derived signals, particularly WiFi Channel State Information (CSI) that captures how human body movements perturb wireless channel propagation. It matters centrally to the field because it underpins a wide range of passive, contactless, and privacy-preserving applications including healthcare monitoring, smart home automation, fall detection, and security surveillance, without requiring subjects to wear dedicated devices. Key variants include coarse-grained activity classification (distinguishing broad action categories), fine-grained gesture recognition (capturing subtle limb or hand movements), fall detection as a safety-critical subtask, and multi-person HAR, with ongoing challenges around domain adaptation across different environments, body types, and antenna deployments.

Source Papers

  • Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey — Channel State Information from Pure Communication to Sense a
  • Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey — Deep Learning-Enhanced Human Sensing with Channel State Info
  • Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations — Exposing the CSI: A Systematic Investigation of CSI-based Wi
  • Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond — Integrated Sensing and Communications: Toward Dual-Functiona
  • Investigation of Environment Dependence in Wi-Fi CSI-Based Crowd Counting Systems — Investigation of Environment Dependence in Wi-Fi CSI-Based C
  • SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing — SenseFi: A library and benchmark on deep-learning-empowered
  • Time matters: Empirical insights into the limits and challenges of temporal generalization in CSI-based Wi-Fi sensing — Time matters: Empirical insights into the limits and challen
  • Understanding and Modeling of WiFi Signal Based Human Activity Recognition — Understanding and Modeling of WiFi Signal Based Human Activi
  • WiFi Sensing with Channel State Information — WiFi Sensing with Channel State Information
  • WiFi as Infrastructure: Valuation Impact of CSI Sensing on Smart Buildings and REIT Portfolios — WiFi as Infrastructure: Valuation Impact of CSI Sensing on S